Multi-agent based distributed control of distributed energy storages using load data. (February 2016)

• Record Type: Journal Article
• Authors: Sharma, Desh Deepak; Singh, S.N.; Lin, Jeremy
• Is Part Of: Journal of energy storage. Volume 5(2016)
• Page Start: 134
• Page End: 145
• Publication Date: 2016-02
• Subjects: ABDC control -- Consensus control -- Distributed energy storage system -- Equilibrium information state -- Multi-agent system -- Peak shaving; Energy storage -- Periodicals; Energy storage -- Research -- Periodicals; 621.3126
• DOI: 10.1016/j.est.2015.12.004
• Languages: English
• ISSNs: 2352-152X

Abstract

Highlights: Peak shaving is achieved in a power distribution system with distributed energy storages. Distributed energy storages are sized for peak shaving. A distributed control scheme is designed for distributed energy storages. Overall global stability is achieved in dynamic system while ensuring convergence. In real time, online estimation of state of charge (SOC) of a battery is not required. Abstract: Peak power shaving is one of the important demand side management programs in the distribution systems. It can be achieved by shifting the demand and/or using the distributed energy storage systems (DESSs) which can be geographically located in the system equipped with the smart grid infrastructure for communication. In this paper, an agent-based distributed control (ABDC) scheme is proposed for real time peak power shaving using DESSs. In this control scheme, a distributed pinning consensus control scheme is developed to control and manage the power sharing among different batteries operated as agents while convergence in consensus is achieved. The medium voltage electricity consumption data of a practical distribution system is used to validate the effectiveness of proposed control scheme.